Alternatives and similar repositories for Cluster-wise-Graph-Transformer:

Users that are interested in Cluster-wise-Graph-Transformer are comparing it to the libraries listed below

• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆14Updated 4 months ago
• liugangcode / Data-Centric-Transfer
  [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…
  ☆19Updated last year
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆34Updated last year
• Graph-and-Geometric-Learning / D4Explainer
  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
  ☆21Updated last year
• Graph-COM / SPE
  Official code for SPE
  ☆14Updated 6 months ago
• zhao-ht / GIMLET
  The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  ☆61Updated last year
• ChnQ / LLM4Mol
  Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"
  ☆38Updated last year
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆40Updated 3 weeks ago
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆94Updated last year
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆31Updated 9 months ago
• Namkyeong / CGIB
  The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".
  ☆40Updated last year
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆16Updated last year
• kimsu55 / ToxExpert
  ☆13Updated 2 years ago
• TianyuFan0504 / WAS
  Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"
  ☆10Updated last year
• XiaoxinHe / iclr2024_learning_on_graphs
  List of papers on ICLR 2024
  ☆56Updated last year
• zhao-ht / DeepGraph
  This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.
  ☆20Updated last year
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆40Updated last year
• Lucius-lsr / AdapterGNN
  ☆29Updated last year
• liugangcode / GREA
  [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
  ☆39Updated this week
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆42Updated 10 months ago
• Amanda-Zheng / LEBED
  Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
  ☆15Updated last year
• LFhase / GALA
  [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
  ☆21Updated 7 months ago
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆18Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆42Updated 3 months ago
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆69Updated last year
• VITA-Group / Graph-Mixture-of-Experts
  [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…
  ☆41Updated last year
• qslim / PDF
  Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
  ☆12Updated last year
• ddz16 / MoMu
  The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".
  ☆25Updated last year